qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 20, 2026 · Apple M1 Pro
mistral-small:24b
OLLAMA GGUFllama · 23.6B · Q4_K_M
Jun 26, 2026 · Cortex-X925
Global Score
78 vs 75
Hardware Fit
56 vs 64
Quality Score
87 vs 80
Hardware
qwen3.8-27b-mlx mistral-small:24b
MachineMacBook ProNVIDIA NVIDIA_DGX_Spark
CPUApple M1 ProCortex-X925
Cores1020
RAM32 GB122 GB
GPUApple M1 ProDevice 2e12
OSmacOS 15.6.1Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance
Performance
qwen3.8-27b-mlx mistral-small:24b
Tokens/sec10.814.3
First chunk8 ms327 ms
TTFT2.6 s327 ms
Load timeN/A12.0 s
Memory usage21.0 GB18.5 GB
Memory %66%15%
HW Fit Score Breakdown
qwen3.8-27b-mlx
Speed
23/50
TTFT
16/20
Memory
17/30
mistral-small:24b
Speed
14/50
TTFT
20/20
Memory
30/30
Quality
qwen3.8-27b-mlx
Reasoning
18/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
mistral-small:24b
Reasoning
16/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest